Research Scientist (AI) – Biomedical Imaging

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Job Requirements

• PhD (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
• Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.
• Proven track record in developing and using advanced ML / AI  methods for the analysis, modeling and / or generation of imaging and vision data.
• Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications.
• A strong theoretical foundation (statistics, optimization, graph algorithms, linear algebra) with experience building models ground up.
• A passion for interdisciplinary research (with an emphasis on the intersection of AI and Biology), and willingness to acquire necessary domain knowledge.
• Motivated and self-driven with the ability to operate with partial and incomplete descriptions of high-level objectives (as is typical in a start-up environment).
• Evidence of familiarity and utilization of software engineering best practices (version controlling, documentation, etc), and open-source contributions, especially if used by others.

Preferred Qualifications

• 3+ years of post-PhD experience in an industry or postdoc role
• Hands-on prior experience working on biomedical images including one or more of the following: pathology images (H&E), various molecular and microscopy imaging, clinical image modalities (MRI, CT etc).
• Practical experience in deep learning applications specific to the analysis of such images including segmentation, feature extraction, supervised and unsupervised applications.
• Experience in large-scale distributed training and inference, ML on accelerators
• Deep knowledge of various architectures and models for imaging data

Join us as we embark on this journey to redefine the future of biology and medicine.We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.